萨摩亚:可扩展的高级大规模在线分析

G. D. F. Morales, A. Bifet
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引用次数: 177

摘要

SAMOA (SCALABLE ADVANCED MASSIVE ONLINE ANALYSIS)是一个挖掘大数据流的平台。它为最常见的数据挖掘和机器学习任务(如分类、聚类和回归)提供了一组分布式流算法,并为开发新算法提供了编程抽象。它的特点是一个可插拔的架构,允许它在多个分布式流处理引擎上运行,如Storm、S4和Samza。samoa是用Java编写的,是开源的,可以在http://samoa-project.net上获得,使用Apache软件许可证2.0版本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SAMOA: scalable advanced massive online analysis
SAMOA (SCALABLE ADVANCED MASSIVE ONLINE ANALYSIS) is a platform for mining big data streams. It provides a collection of distributed streaming algorithms for the most common data mining and machine learning tasks such as classification, clustering, and regression, as well as programming abstractions to develop new algorithms. It features a pluggable architecture that allows it to run on several distributed stream processing engines such as Storm, S4, and Samza. samoa is written in Java, is open source, and is available at http://samoa-project.net under the Apache Software License version 2.0.
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